Author

Fang Liu

University of Notre Dame - Cited by 2,019 - differential privacy & data privacy - Bayesian statistics - machine learning - missing data analysis - study design

Biography

Dr. Fang Liu received her bachelor’s degree in clinical medicine and her master’s degree in medicine from Hebei Medical University, China. She then earned her Ph.D. in biomedical sciences from the University of Montreal, Canada. Dr. Liu was a faculty member at the Hebei Medical University in China for approximately 10 years. She began working as a staff fellow in the Division of Neurotoxicology at NCTR after completing her post-doctoral training at NCTR.   
Title
Cited by
Year
Generalized Gaussian mechanism for differential privacy
F LiuIEEE Transactions on Knowledge and Data Engineering 31 (4), 747 - 756, 2019201
111
2019
Comparative Study of Differentially Private Data Synthesis Methods
CMK Bowen, F LiuStatistical Science 35 (2), 280-307, 202066202
66
2020
Efficacy of a spatial repellent for control of malaria in Indonesia: a cluster-randomized controlled trial.
D Syafruddin, PBS Asih, IE Rozi, DH Permana, APN Hidayati, L Syahrani, ...The American journal of tropical medicine and hygiene 103 (1), 344-358, 2020202
51
2020
Adaptive Gaussian Noise Injection Regularization for Neural Networks
Y Li, F LiuAdvances in Neural Networks (ISNN 2020), 176-189, 202048202
48
2020
Real-world data: a brief review of the methods, applications, challenges and opportunities
F Liu, D PanagiotakosBMC Medical Research Methodology 22 (1), 287, 2022202
24
2022
Privacy Risk and Preservation in Contact Tracing of COVID‐19
D Wang, F LiuChance 33 (3), 49-55, 202021202
21
2020
Using barrier screens to characterize mosquito composition, flight activity, and abdominal status in South Lampung, Indonesia
JR Davidson, S Sukowati, Shinta, PBS Asih, D Syafruddin, RN Baskin, ...Parasites & vectors 11, 1-11, 2018201
16
2018
Adaptive noisy data augmentation for regularized construction of undirected graphical models
Y Li, F Liu, X Liu2021 IEEE 8th International Conference on Data Science and Advanced …, 20218202
8
2021
Privacy-preserving Travel Time Prediction with Uncertainty Using GPS Trace Data
F Liu, D Wang, Z XuIEEE Transactions on Mobile Computing (doi:10.1109/TMC.2021.307465), 2021202
8
2021
Construction of Differentially Private Empirical Distributions from a low-order Marginals Set through Solving Linear Equations with l2 Regularization
E Eugenio, F LiuIntelligent Computing, Proceedings of the 2021 Computing Conference 3, 949-966, 20216202
6
2021
Differentially Private Generation of Social Networks via Exponential Random Graph Models
F Liu, EC Eugenio, IH Jin, CMK Bowen2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020202
6
2020
A Statistical Overview on Data Privacy
F LiuNotre Dame Journal of Law, Ethics & Public Policy 34 (2), 477-500, 2020202
6
2020
Assessment of Bayesian Expected Power via Bayesian Bootstrap
F LiuStatistics in Medicine 7 (24), 471-485, 2018201
3
2018
Variational inference with NoFAS: Normalizing flow with adaptive surrogate for computationally expensive models
Y Wang, F Liu, DE SchiavazziJournal of Computational Physics 467, 111454, 2022202
3
2022
Broadband diffuse optical spectroscopy of absolute methemoglobin concentration can distinguish benign and malignant breast lesions
S Vasudevan, C Campbell, F Liu, TD O’SullivanJournal of Biomedical Optics 6 (6), 065004-065004, 010
2
2021